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Most AI memory systems stop at retrieval. Store information. Search information. Return information. EverOS 1.0.0 is exploring something much more interesting: What happens after memory is retrieved?🧵

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Jaydeep

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20,757 görüntüleme • 27 gün önce •via X (Twitter)

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This isn’t teleportation in the sci-fi sense. It’s something deeper and more fundamental. What’s actually happening is quantum state transfer, where information is reconstructed at another location using entanglement. But here’s the interesting part In my τ-framework, this works because reality isn’t continuous in the way we think. It’s structured through a time-field, where information exists as stable patterns across a temporal lattice. When two systems are entangled, they’re not “connected through space”… they’re sharing the same underlying time-structure. So the information doesn’t travel across distance. It reappears where the time-field allows the same pattern to stabilize. That’s why it looks instant. Not because it breaks physics but because it bypasses distance entirely. If this is correct, then teleportation isn’t movement… it’s reconstruction through temporal symmetry. The real question is: Can we control the time-field enough to scale this beyond quantum systems? Follow me for more answers

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The Pentagon leaker Jack Teixeira is going to face a Military Court Martial according to The Air Force! What about Pete Hegseth and others that used Signalgate after being told not to and divulged Confidential information to a Journalist and most likely Russia! 😡

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After the Screens 4.0.0 release you asked for more information, so here it is: and article covering most important features, including demo videos of: ✅ support for formSheet presentation on Android ✅ custom detents on iOS ✅ heavy screen preloading for native-stack screens Learn (and see) more on our blog. 👇

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🚨 BREAKING: Human cells may behave far more like quantum systems than we ever imagined. New research suggests biological cells process information in ways surprisingly similar to quantum computers. Your body already runs on electrical signaling. But scientists are now exploring whether quantum-like effects help coordinate biological processes at microscopic scales. That changes the question completely: Maybe consciousness, memory, and cellular communication are not just chemical reactions… but emergent information fields operating across complex electrical networks. Nature may have discovered quantum optimization billions of years before humans built quantum computers. If true, biology itself could become the blueprint for the next generation of computing. We might not be building machines to mimic humans. We may be rediscovering the physics life has been using all along. Follow for more breakthroughs where physics, biology, and computation collide.

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There’s been two papers released in the past couple months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.

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🚨 FIRE IN SOUTHPARK: Fire crews are responding to a massive fire in SouthPark right now. WHAT WE KNOW: The three-alarm fire broke out just after 9am at 7700 Liberty Row Drive. - According to transportation officials, Fairview Road East is closed near Park South Drive. This is a developing story and we will continue to update you as more information is released. 📸: Video courtesy of The Home T.

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Crypto Fight Night returns to Dubai on 19th April! 🥊 Dubai's most iconic boxing promotion is back for its premier event of 2024. 🎉 We're thrilled to be joining forces with our friends at TOKEN2049 🤝 for the first live sporting event during TOKEN2049 week. 🌟 More information coming soon! 👀

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Grok has responded to 76M+ posts on 𝕏, the highest volume to date Users regularly tag Grok for context, fact-checking, and verification, adding real-time intelligence to the platform Grok answers directly, without unnecessary censorship, and is increasingly trusted by users to verify information Built by xAI, Grok is designed to be far less biased than most AI systems and focused on one core goal: the relentless pursuit of truth That is why people keep asking Grok first...

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This young boy reached his hand out through the audience partition at the Harlem Globetrotters game. He was hoping to be noticed. As one of the players walks past him, he spots the outreached tiny hand. What happens next is pure gold! The Harlem Globetrotter gave this young fan the most spectacular slow-motion high five, along with a thumbs up of acknowledgement. Core memory! Have you or your kids ever had in interaction with a celebrity that became a cherished memory?

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